LAST UPDATED March 2021
Discover our best content and make learning your daily ritual
Hey there!
If your goals are to
- Explore and start learning about data science, machine learning, programming, or artificial intelligence
- Become a data scientist or machine learning engineer (transition to the field)
- Stay up to date with the most important developments
- See what other data scientists are working on and discussing
- Discover the most advanced knowledge in the field
Towards Data Science can help you. In just a few years, we have become one of the best places in the world to read, write about, and share data science and machine learning content.
As our publication continues to grow, we…
THE VARIABLE
Dear readers,
Thank you for joining us on the inaugural edition of the Variable, our revamped weekly newsletter. Very few people can read everything we publish on TDS (it’s a lot!). We know, though, that many of you don’t want to miss out on the best stuff we put out there. Starting today, we’ll send you a fresh batch of must-reads every Thursday: a selection that reflects the incredible work TDS authors share with the community.
Ready to get started?
Paradoxes, floods, and K-Pop
If the world isn’t confusing enough for you these days, wait until you read Francesco Casalegno’s introduction to three statistical…
MONTHLY EDITION
Data Science need not be as cold and distant as the math makes it seem
As you learn about and practice data science, it becomes harder and harder to avoid abstraction — often in the form of an algorithm coded in a particular programming language, or the mathematical characterization of an idea. What I’d like to highlight here is that data science and its component disciplines (statistics, machine learning, etc.), have origins very closely tied to our own way of perceiving and thinking about the world. I’d like to invite you to relate every data science principle or big idea you come across to your life: What are the parallels between a given learning algorithm…
Author Spotlight
“I started looking for a way to document my learning journey and help others.”
In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science, their writing, and their sources of inspiration. We’re thrilled to present our first conversation in the series, with Sara A. Metwalli.
Sara A. Metwalli is originally from Egypt, and received a bachelor’s degree in Electronics and Communications Engineering from Alexandria University’s Faculty of Engineering. She then traveled to Tokyo to pursue her graduate studies: she received a master’s degree in Computer and Communications Engineering from the Tokyo Institute of Technology in 2018.
Hi everyone! 👋
We have some news we’re excited to share. Starting next week, our Daily Pick will become the Variable, a weekly newsletter where we will feature our best articles — including tutorials, research, opinion pieces, and original features.
If one weekly dose of reading recommendations isn’t enough for you, you can also get a fresh batch of data science reads every Friday by signing up to our weekly digest. It’s easy: follow our publication, go to your profile, look for Email Settings, and choose to receive emails from publications.
Latest picks:
- 8 Common Pitfalls of Running A/B Tests by Leihua Ye, Ph.D. Researcher
- Creating synthetic time series data by Alexander Watson
- The Obstacle of Big Data by Joshua Szymanowski
- The Making of AI Snake Oil by Adnan Haider
In case you missed them:
- Photo Finish: Building an AI at Home by Streicher Louw
- Developing a streamlit-webrtc component for real-time video processing by Yuichiro Tachibana (Tsuchiya)
- Identifying Areas Most Likely to Suffer Recession Post Pandemic by Alejandro Polvillo Hall
- Before you start a data science project ask your users this one question by Kyle Thompson
Latest picks:
- Handling Data Scarcity while building Machine Learning applications by Preetam Joshi
- Basics: Gradient*Input as Explanation by Eugen Lindwurm
- A Hands-on Tutorial to Continuous Deployment Pipelines for ML-based Web Apps on Google Cloud by Dr. Sohini Roychowdhury
- How to Test Machine Learning Code and Systems by Eugene Yan
In case you missed them:
Latest picks:
- How to Kickstart an AI Venture Without Proprietary Data by Kartik Hosanagar
- How To Train Your Siamese Neural Network by Cameron Trotter
- A self learner’s guide to shortest path algorithms, with implementations in Python by Houidi mohamed main
- The Model’s Shipped; What Could Possibly go Wrong? by Aparna Dhinakaran
In case you missed them:
Latest picks:
- xgbse: Improving XGBoost for Survival Analysis by Guilherme Marmerola
- Superhuman AI and the Future of Democracy and Government with Jeremie Harris and Ben Garfinkel 🎧
- Guide to real-time visualisation of massive 3D point clouds in Python by Florent Poux, Ph.D.
- An Interactive Look at Healthcare Price Disparities in NYC by Anne Bode
In case you missed them:
